A Quantitative Identification Method of Satellite Microvibration Source Based on Blind Source Separation Technology

Abstract

The invention discloses a method for quantitative identification of satellite micro-vibration sources based on blind source separation technology. First, each vibration source of the satellite cabin section structure model operates normally, and the vibration response signals at the sensitive loads and different positions on the model surface are obtained to ensure The number of observed signals is greater than the number of sources; then, use the high-order cumulant to construct the reference kurtosis comparison function of the blind source separation algorithm, construct the reference signal according to the prior knowledge of the vibration source, and use the optimal step size gradient method to find the reference kurtosis comparison function The optimal solution of the separation signal corresponding to the maximization of the function realizes the extraction of the single vibration source signal; secondly, the response of each vibration source at the sensitive load point is obtained through the Wiener filter; finally, the contribution based on the vector projection Quantity characterization method is used to calculate the contribution of each micro-vibration source. The contribution index reflects the relative proportion of each vibration source's contribution and influence on the vibration of sensitive load points, and provides the basis and basis for vibration suppression.

Description

technical field [0001] The invention relates to a method for quantitatively identifying vibration sources of mechanical equipment, in particular to a method for quantitatively identifying satellite micro-vibration sources based on blind source separation technology. Background technique [0002] As a widely used key aerospace equipment, satellites play an increasingly important role in the fields of earth observation, space exploration, navigation and positioning, communications, weather forecasting, national defense, etc. Optical remote sensing satellites will move towards "higher" imaging resolution in the future direction of development. Microvibration is one of the key factors affecting and restricting the performance improvement of satellite positioning accuracy and resolution. Quantitative identification and evaluation of main vibration sources and their contributions to sensitive loads can provide the foundation and basis for satellite vibration reduction design and ...

AI Technical Summary

Problems solved by technology

[0003] Since the main vibration sources are distributed in different positions of the satellite, they are transmitted and coupled to the sensitive load area through different paths, so the vibration amplitude of the vibration source signal cannot reflect its influence and contribution to the vibration of the sensitive load area

Moreover, the actual satellite mechanical structure is complex, including a large number of honeycomb sandwich plate structures and joint surfaces fixed by threads and rivets, which increases the difficulty of building models and restricts the accuracy and efficiency of the model to solve the transfer function

In addition, due to the large number of harmonic components of the satellite vibration source signal and the overlapping frequency bands of each source signal, the sum of the energy of each response signal at the observation point when each vibration source is in operation, will be at the observation point when each vibration source operates simultaneously. The energy of the mixed response signal is not equal, making it difficult to accurately reflect the true contribution of the vibration source at the observation point by the contribution represented by energy

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